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A Relational Context Proximity Query Language
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2014 (English)In: 6th International Conference on Mobile Networks and Management, Springer , 2014Conference paper (Refereed)
Abstract [en]

The creation of applications and services realising massive immersive participation require the provisioning of current, relevant and accurate context information. These applications benefit from access to this highly dynamic information in real time. Existing approaches to provisioning context information are limited by their interpretation of context relationships as address book solutions thus limiting the discovering of related entities. We introduce the context proximity query language (CPQL) for querying context related entities on distributed across collections of remote endpoints. As a declarative query language (CPQL) is similar in structure to SQL and describes the relationships between entities as distance functions between their associated context information. We simulate CPQL and show that it offers improvements over existing approaches while scaling well.

Place, publisher, year, edition, pages
Springer , 2014.
Keyword [en]
Context-Awareness, Immersive Participation, Context, Context Models, Internet Of Things, Context Proximity, Sensor Information, P2P Context, Query Language
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-153277DOI: 10.1007/978-3-319-16292-8_20OAI: oai:DiVA.org:su-153277DiVA, id: diva2:1185148
Note
The conference proceedings will be published by Springer-Verlag in the LNICST series, and will be archived online on SpringerLink.Available from: 2018-02-23 Created: 2018-02-23

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